【24h】

Investigation of RFID passive strain sensors based on carbon nanotubes using inkjet printing technology

机译:采用喷墨印刷技术的基于碳纳米管的RFID被动应变传感器研究

获取原文

摘要

Because of their remarkable properties, carbon nanotubes (CNTs) have been used in many applications [1–5]. Stain sensors based on CNTs can overcome several limitations of the existing conventional sensors, including limited monitoring locations and separation from the structure that is being monitored. Many deposition methods were applied to deposit CNTs on substrate; inkjet technology among others will possibly turn out as a fast and flexible manufacturing method for CNT-based sensors. We report about a wireless passive strain sensor made by inkjet-printing of CNT dispersions on flexible substrates. According to the radio frequency identification (RFID) principles, a square planar coil was patterned using inkjet orienting technology on a flexible substrate (Polyethylene terephthalate — PET) in order to measure strain wirelessly [6, 7]. Several settings of printing were investigated and optimized. Coils of different design parameters including variation of the number of windings, inner diameter, outer diameter and number of printed layers were manufactured using inkjet printing. The investigation of the readout mechanism of the sensor was done by applying the electrical impedance spectroscopy (EIS) analysis. By measuring the change in the complex impedance of the coupled coil, the changes in the resonance frequencies of the sensors were detected wirelessly. The change in the bandwidth is considered to be the main effect of the sensor under strain.
机译:由于它们显着的性质,在许多应用中使用了碳纳米管(CNT)[1– 5]。基于CNT的污渍传感器可以克服现有传统传感器的几个限制,包括有限的监测位置和与正在监测的结构的分离。将许多沉积方法应用于储存基材上的CNT; Indjet技术等可能会成为基于CNT的传感器的快速和灵活的制造方法。我们报告了通过喷墨印刷的无线被动应变传感器在柔性基板上的CNT分散体制成。根据射频识别(RFID)原理,在柔性基板上使用喷墨定向技术(聚对苯二甲酸乙二醇酯— PET)在柔性基板上进行图案化平板线圈,以便无线测量应变[6,7]。研究并优化了几种印刷设置。使用喷墨印刷制造不同设计参数的线圈,包括绕组数,内径,外径和印刷层的数量的变化。通过施加电阻抗光谱(EIS)分析来完成传感器读出机制的研究。通过测量耦合线圈的复杂阻抗的变化,无线地检测传感器的谐振频率的变化。带宽的变化被认为是传感器在应变下的主要效果。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号